Empirics of hills, plateaus, mountains and plains: A Markov-switching approach to growth

Most economic growth research has been aimed at explaining cross-country differences in average growth rates. However, it is well known that growth experiences differ over time within a country almost as much as they differ among countries. This paper builds on Pritchett's (2000) [Pritchett, Lant, Understanding patterns of economic growth: searching for hills among plateaus, mountains, and plains, World Bank Economic Review, May 2000, 14 (2), 221-250.] observation that the growth process can be thought of as transitions between different growth regimes and proposes a framework for systematic analysis of such regimes and the dynamics of the transitions. I estimate a Markov-switching regression to characterize four distinct growth regimes and transitions between them. The results show that countries switch among regimes of stable growth, “miracle” catch-up, stagnation and crisis with the transition probabilities determined by the quality of institutions. Better institutions appear to improve long-run growth by making episodes of fast growth more persistent. Low average growth rates in countries with weak institutions are a result of these countries spending more time in stagnation regimes rather then being incapable of fast growth at all. Weak institutions do not rule out growth takeoffs but limit their sustainability. The approach directs attention to shifts in growth performance and highlights the fact that identical average growth rates can mask very distinct growth paths.